Results 91 to 100 of about 128,875 (269)

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He   +5 more
wiley   +1 more source

Modelling and Chaotic Based Parameter Optimization of Sliding Mode Controller

open access: yesJournal of Mathematical Sciences and Modelling
This study presents a sliding mode controller design for DC motor speed control using optimization algorithms. The design of sliding mode controllers typically requires expert input during the parameter determination phase.
Adnan Derdiyok   +3 more
doaj   +1 more source

Vapor‐Assisted Catalysis Enables Precise Construction of MOF‐Derived Hierarchical Carbon Nanoarrays for High‐Performance Supercapacitors

open access: yesAdvanced Science, EarlyView.
A remote‐control strategy for catalyst design is unveiled for advanced carbon materials. During pyrolysis, zinc vapor from a physically separate source guides cobalt catalysts to construct a hierarchical carbon nanoarray. This approach prevents structural collapse while directing the dense growth of carbon nanotubes, yielding a material with ...
Xiaoyang Deng   +7 more
wiley   +1 more source

Coverings of solenoids and automorphisms of semigroup C*-algebras

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки, 2018
The paper deals with finite-sheeted covering mappings onto the C*-adic solenoids and limit endomorphisms of semigroup C*-algebras. The aim of our exposition is two-fold: firstly, to present the results concerning the above-mentioned mappings and ...
R.N. Gumerov
doaj  

Decoding Short‐Range Order in Amorphous Two‐Dimensional Nanosheets for Efficient and Durable Ampere‐Level Seawater Electrolysis: A Case Study of Amorphous Ni(OH)2

open access: yesAdvanced Energy Materials, EarlyView.
This work uncovers the atomic‐scale origins of exceptional HER performance in amorphous Ni(OH)2 nanosheets by combining atom probe tomography, DFT simulations, and operando spectroscopy. We identify distinct short‐range‐order motifs that accelerate water dissociation, proton transport, and hydrogen adsorption. Embedding Pt single atoms further enhances
Xin Geng   +4 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

open access: yesAdvanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz   +4 more
wiley   +1 more source

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao   +5 more
wiley   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

open access: yesAdvanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal   +2 more
wiley   +1 more source

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